Detect Intrusions with
AI-Powered Models

Analyze network traffic and detect threats in real-time using state-of-the-art deep learning and ensemble machine learning models. Built for security teams and researchers.

No credit card required
Secure & Private
Production-ready API
Intrusion Detection System - AI-powered network security visualization

Powerful Features

Everything you need to detect and analyze network intrusions with confidence

Multiple Datasets

Support for UNSW-NB15 and CIC-IDS 2017 datasets with binary and multi-class classification capabilities.

UNSW-NB15: Attack vs Normal
CIC-IDS 2017: Normal, DoS, PortScan

Advanced AI Models

Hybrid Graph Convolutional Networks with Multi-Head Attention and Deep Q-Network architecture for superior detection accuracy.

GCN → Attention → DQN

Ensemble ML Models

Production-grade ensemble models including Random Forest, XGBoost, LightGBM, CatBoost, and more for robust predictions.

XGBoostLightGBMCatBoostRandom Forest

How It Works

Get started in minutes with our simple, intuitive workflow

Upload Data

Upload CSV or JSON files, or input single samples via our intuitive interface

Select Model

Choose from deep learning or ensemble ML models optimized for your dataset

Get Results

Receive instant predictions with confidence scores and detailed analytics

Real-time Processing

Process single samples or batch uploads instantly with our optimized inference pipeline. Get results in milliseconds with confidence scores for every prediction.

RESTful API

Integrate seamlessly with your existing infrastructure using our production-ready REST API. Comprehensive documentation and code examples included.

Secure & Private

Enterprise-grade security with authentication, role-based access control, and encrypted data transmission. Your data stays private and secure.